Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
arXiv:2602.06807v1 Announce Type: cross Abstract: We address the over-constrained planning problem in semi-static environments. The planning objective is to find…
Towards Agentic Intelligence for Materials Science
arXiv:2602.00169v2 Announce Type: replace-cross Abstract: The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true…
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
arXiv:2508.01309v2 Announce Type: replace-cross Abstract: The scarcity and high cost of high-quality domain-specific question-answering (QA) datasets limit supervised fine-tuning of…
CSRv2: Unlocking Ultra-Sparse Embeddings
arXiv:2602.05735v2 Announce Type: replace-cross Abstract: In the era of large foundation models, the quality of embeddings has become a central…
Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
arXiv:2602.05885v2 Announce Type: replace-cross Abstract: High-quality kernel is critical for scalable AI systems, and enabling LLMs to generate such code…
Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
arXiv:2602.06900v1 Announce Type: cross Abstract: Bayesian optimal experimental design (BOED) seeks to maximize the expected information gain (EIG) of experiments.…
On the Identifiability of Steering Vectors in Large Language Models
arXiv:2602.06801v1 Announce Type: cross Abstract: Activation steering methods, such as persona vectors, are widely used to control large language model…
Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations
arXiv:2602.06208v1 Announce Type: cross Abstract: Recent empirical evidence has demonstrated that the training dynamics of large-scale deep neural networks occur…
Learning to Discover at Test Time
arXiv:2601.16175v2 Announce Type: replace-cross Abstract: How can we use AI to discover a new state of the art for a…